The TRANCOS dataset is a public dataset containing 1244 dot-annotated images of different congested traffic scenes captured by surveillance cameras, introduced by [1]}. The approximated ground truth density maps are generated by putting one Normal Gaussian kernel for each dot present in the scene, having a value of \(\sigma \)  empirically decided by the authors. They also provided the regions of interest (ROIs) for each image. We used this dataset to test performance with the Camera2Camera domain shift.
